Process Plant Simulation (Free PDF)


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Description
It was the discovery of crude oil in 1859 by Drake that led to the thought that there was the need to have a separate discipline of chemical engineering. Until then, chemists and mechanical engineers also served as chemical engineers. In the early stages of the evolution of chemical engineering as a separate discipline, it was thought to be a combination of unit operations and unit processes. Since then, chemical engineering has been dynamic and has undergone many changes. The beauty of this discipline lies in its versatility and ability to adapt itself to various new and interdisciplinary fields of engineering and science. Environmental engineering, biochemical engineering, energy engineering, optimization, and process control and instrumentation can all come under the single umbrella of chemical engineering. Taking these dynamic changes and the versatility of this discipline into account, it has been redefined as comprising the concepts of process synthesis, analysis, and optimization. Process synthesis deals with the selection of the best process alternative out of the millions of alternate process flowsheets available for manufacturing any product. A systematic methodology has been developed based on the conceptual design principles for this process synthesis activity. It includes making process design decisions at various levels of hierarchy, such as batch versus continuous, input-output structure, recycle structure, general structure, and energy integration. The complexity of the decisions increases as the level goes up from batch versus continuous to energy integration. Process analysis deals with the detailed simulation of process plants for the best process alternative selected from the process synthesis activity. Optimization, as the name suggests, deals with finding the optimum design parameters for maximizing the profit or minimizing the total investment on a process plant (trade-off between capital and operating costs).

Content:-
Preface
1. Introduction
PART I: MODELLING
2. Modelling Aspects
3. Classification of Mathematical Modelling
PART II: CHEMICAL SYSTEM MODELLING
4. Models in Mass-transfer Operations
5. Models in Heat-transfer Operations
6. Models in Fluid-flow Operations
7. Models in Reaction Engineering
PART III: TREATMENT OF EXPERIMENTAL  RESULTS
8. Error Propagation and Data Regression
PART IV: OPTIMIZATION
9. Traditional Optimization Techniques
10. Non-traditional Optimization Techniques
PART V: SIMULATION
11. Modular Approaches and Equation-solving Approach
12. Decomposition of Networks
13. Convergence Promotion and Physical and Thermodynamic Properties
14. Specific-purpose Simulation and Dynamic Simulation
15. Professional Simulation Packages
References
Index

Author Details
"B.V. Babu"
Birla Institute of Technology and Science,
Pilani, Rajasthan




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